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Real-world data: a brief review of the methods, applications, challenges and opportunities
Background The increased adoption of the internet, social media, wearable devices, e-
health services, and other technology-driven services in medicine and healthcare has led to …
health services, and other technology-driven services in medicine and healthcare has led to …
Metaheuristic design of feedforward neural networks: A review of two decades of research
Over the past two decades, the feedforward neural network (FNN) optimization has been a
key interest among the researchers and practitioners of multiple disciplines. The FNN …
key interest among the researchers and practitioners of multiple disciplines. The FNN …
Comparison of text preprocessing methods
Text preprocessing is not only an essential step to prepare the corpus for modeling but also
a key area that directly affects the natural language processing (NLP) application results. For …
a key area that directly affects the natural language processing (NLP) application results. For …
[كتاب][B] Data cleaning
This is an overview of the end-to-end data cleaning process. Data quality is one of the most
important problems in data management, since dirty data often leads to inaccurate data …
important problems in data management, since dirty data often leads to inaccurate data …
Artificial intelligence and big data in public health
Artificial intelligence and automation are topics dominating global discussions on the future
of professional employment, societal change, and economic performance. In this paper, we …
of professional employment, societal change, and economic performance. In this paper, we …
Detecting and preventing cyber insider threats: A survey
Information communications technology systems are facing an increasing number of cyber
security threats, the majority of which are originated by insiders. As insiders reside behind …
security threats, the majority of which are originated by insiders. As insiders reside behind …
An empirical study on tensorflow program bugs
Deep learning applications become increasingly popular in important domains such as self-
driving systems and facial identity systems. Defective deep learning applications may lead to …
driving systems and facial identity systems. Defective deep learning applications may lead to …
Data and information quality
This book is the result of a study path that started in 2006, when the two authors of this book
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
published the book Data Quality: Concepts, Methodologies and Techniques. After 8 years …
Blocking and filtering techniques for entity resolution: A survey
Entity Resolution (ER), a core task of Data Integration, detects different entity profiles that
correspond to the same real-world object. Due to its inherently quadratic complexity, a series …
correspond to the same real-world object. Due to its inherently quadratic complexity, a series …
Transforming big data into smart data: An insight on the use of the k‐nearest neighbors algorithm to obtain quality data
The k‐nearest neighbors algorithm is characterized as a simple yet effective data mining
technique. The main drawback of this technique appears when massive amounts of data …
technique. The main drawback of this technique appears when massive amounts of data …